MiniMax M2.7

MiniMax-M2.7

MiniMax M2.7 is presented as a productivity and engineering model for autonomous workflows, multi-agent collaboration, live debugging, and document-heavy work. Public descriptions mention root-cause analysis, financial modeling, and full Word/Excel/PowerPoint-style document generation. It should be described as an applied work model, not just a chat or writing model.

Total Context

204.8Ktokens

Max Output

131.1Ktokens

Released

Mar 18, 2026

Modalities

MiniMax M2.7 Price

Input PriceOutput PriceCache Read
$0.3/M$1.2/M$0.06/M

MiniMax M2.7 API

POST /v1/chat/completions

MiniMax M2.7 Benchmark

MiniMax-M2.7

38.1

/100

Artificial Analysis Intelligence Index

Artificial Analysis broad capability aggregate

Index score

41.9

/100

Artificial Analysis Coding Index

Artificial Analysis software task aggregate

Index score

Knowledge & Reasoning

GPQA

Advanced science problem solving

87.4%

HLE

Broad expert-level exam set

28.1%

Coding & Engineering

SciCode

Scientific coding challenges

47%

Terminal-Bench Hard

Hard terminal task execution

39.4%

Instruction Following & Agent Tasks

IFBench

Prompt constraint adherence

75.7%

AA-LCR

Long-context reasoning

68.7%

τ²-Bench

Agent workflow tasks

84.8%

Metrics sourced from Artificial Analysis

Media and Discussions

Selected public videos and posts related to this model.

X (Twitter)

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Reddit

YouTube

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MiniMax M2.7 FAQ

MiniMax M2.7: capabilities, use cases, limits, and TokenHub guidance.

What does MiniMax M2.7 focus on?+

MiniMax M2.7 is a MiniMax model for real-world software engineering and agent delivery.

Which projects fit MiniMax M2.7?+

Best for iterative engineering delivery, debugging and refactoring and repository-scale development, especially when long-horizon task completion is the priority.

What is special about MiniMax M2.7?+

Key strength: strong real-world engineering, debugging, and end-to-end delivery.

When is another model better?+

Long autonomous runs can consume substantial time and tokens. For multimodal input, consider MiniMax M3.

How do I avoid ID mistakes?+

Use the exact ID shown by TokenHub; follow your account docs and verify current features.